System Simulation for HVAC

With faster computers comes new complexities that, if understood, can be mastered to yield significant application performance and cost improvements. In this breakout session, we will investigate how the Azure HBv3 offering, with increased memory bandwidth and L3 cache, can drastically reduce time to solution for AcuSolve at scale. We will cover some benchmarks and show how they perform on Azure at various scale points. This data will enable AcuSolve users to reduce time to solution so they can dedicate more time to improving their product.

Together with cloud providers and our other HPC partners, Intel is driving the performance and flexibility that are critical to running advanced HPC workloads in the cloud. We collaborate across our HPC ecosystem to help cloud providers offer accelerated, secure, and agile environments using our latest technologies, such as Intel® Xeon® processors. As cloud customers continue exploring new possibilities and applications for HPC, Intel is dedicated to facilitating their success. Intel works with HPC partners from various industries to enable forward-thinking cloud use cases such as bursting, AI, and advanced analytics. Learn how Intel collaborates with Public and Private Cloud Service Providers to optimize HPC workloads for fast, cost-effective execution on Intel-based Cloud Instances.

Digital Twin is enjoying a breakthrough, fueled by advances in the sophisticated use of physics-based simulation models of varying fidelities. Connected and informed by data from the field with the help of artificial intelligence, Leonardo S.p.A. validates the performance of product systems virtually in the early stages of design to accelerate the development of their next generation of products.

The door closing feel is directly experienced by the customer and is typically treated as a subjective functional attribute. Objective targets have also been identified and correlated with subjective feelings, even though the final sign-off happens based on subjective assessment. Door Closing is a complex function involving multiple subsystems, their behavior & interface across parts.

In modern Electric Vehicles, body panel design plays a huge role in thermal management for the Li-Ion battery and powertrain performance. Early-stage aerodynamic and thermal prediction is necessary for surface optimization of vehicle exterior. Well defined and controlled flow phenomena need to be achieved around the vehicle during A- surface development phase, to improve the ride performance and handling of the vehicle on the road In this phase, Altair CFD Thermal solver AcuSolve drastically reduced the time consumed for analysis

The aerodynamics design of high-performance bikes plays a significant role in reducing the overall drag, increase in speed, and improving the range efficiency. To improve and sustain the performance of the EV, it is necessary to explore various factors such as aerodynamically streamlining the vehicle design, optimise frontal area, and cooling electronic components as well.

Dactem (a DAM group company), developer of specialist test, measurement and assembly solutions for the aerospace industries, presents an overview of the optimization of a thrust balance used for accurate measurements in electrical thruster qualification endurance testing. The presentation will provide details on how a Multiphysics simulation approach was used to find the optimum design taking mechanical, thermal and electromagnetic performance into account. Speakers: Emmanuel Pouleau, CEO, Dactem (a DAM Group company) Pierre Moutet, Engineer, Dactem (a DAM Group company) Duration: 15 minutes

Altair® EDEM™ is a discrete element method solver that enables users to accurately simulate particulate processes. When coupled with Altair Computational Fluid Dynamics (AcuSolve), these two solutions enable the simulation and analysis of two-phase solid-fluid systems. These simulation tools are widely used in various industries and in academia to deepen the understanding of different unit operations, such as mixers, coaters, fluidized beds and pneumatic conveyors. The unique and novel solutions that Altair offers address the challenges when using DEM and coupled CFD-DEM methods.

AAM has been providing mechanical drivelines to automotive customers for more than 25 years. As the automobile transitions to electrification, so too must the driveline. AAM has developed a suite of innovative, lightweight, compact and cost-optimized electric drive units and electric beam axles to meet the growing global technology demand as electric vehicles continue to expand over the next decade. Engineering simulation, optimization and validation tools were significant enablers to increase the validation confidence and reduce the time to market for these new products.

Sustainable designs last longer. David Yáñez from Vortex Bladeless, a Spanish start-up, shares his vision of the technology, the strategies used for the integration of the different physical phenomena involved in the simulation-driven design, and the development of their resonating structures having minimal parts susceptible to wear by friction. The simulation results from CFD, with fluid-structure interaction, and electromagnetic field simulation are compared with experimental wind tunnel results and from in-service environments.

Dust is a serious problem for industries that handle and process bulk materials, causing deteriorating ambient air quality, human health concerns, while increases housekeeping labor costs to meet safe levels for health and fire risks. Learn from Dr. Andrew Grima about the technologies employed to develop a successful solution to minimize dust by using calibrated discrete element modeling (DEM) and new dust extraction technology.

AI-powered real-time melt-pool analytics for accelerated product development and production.

The ever-advancing digitization is being driven by the convergence of simulation, data, and HPC. While virtual methods, interoperable tools, and standardized interfaces become state of the art, the engineers and their management will play a significant role to break down silos and benefit from a Digital Thread. In this fireside chat, we will discuss the importance of people to unleash the potential of Digital Twins, how they can combine the different fields of product development and what is still missing to make the connection.

What if you could create 1D simulation models that retain the precision of your 3D analysis while running up to thousands of times faster?

An intuitive and robust CFD workflow is available in Altair® SimLab® - a process-oriented, feature-based finite element analysis software that allows you to quickly and accurately simulate the engineering behavior of complex assemblies. For fluid and thermal analyses, SimLab can make the model setup process even faster, repeatable, thereby minimizing tedious manual steps that can be automated. A live demo will be performed using real-world models to show the simple and smooth analysis process in Altair SimLab that goes from CAD to results in minutes.

For the past three decades, Altair’s optimization solutions have driven the innovative, lightweight, and structurally efficient designs of many products you see and use every day. The intense focus on additive manufacturing in recent years have given a boost to topology optimization and generative design, providing more freedom to explore alternatives. Today, we keep on innovating the technology, looking at including multiple physics, like thermal, electromagnetics, and fluid flow to drive design. Altair AcuSolve – coupled with Altair Optistruct – enables engineers to find the optimum shape by simply defining inlets, outlets, and the allowable space in which the solver can work. AcuSolve’s gradient-based topology optimization method will quickly and efficiently find the path of least resistance to deliver fluid flows with minimal effort.

The Digital Twin concept is broadly applicable to all Altair customer base wanting to develop better products faster. We will explain how to maximize the value you can get from the Altair Platform for Digital Twins. We will illustrate how this solution helps diverse engineering teams develop better, more complex products faster by avoiding work in silos. This will include proven uses cases for the convergence of simulation and data.

Nowadays, many Machine Learning techniques able to identify dynamic models from data are taking hold. But, can we support the learning phase leveraging our expertise obtaining models with better generalization property? To tackle this need and others we have developed a novel approach, romAI. This application combines AI and system modeling techniques to generate reusable continuous dynamic models extremely time-efficient, hence used as Reduced-Order Models to speed-up system design and optimization or in Digital Twins/Simulators for real-time applications.

Altair products are quickly evolving into AI-driven products. Starting from the modeling and visualization products, the latest release of Altair HyperWorks includes features like shapeAI, which quickly finds and classifies parts “by shape” inside geometry files or finite element meshes - when you want to locate all of the bolts, shafts, and gears in a complex assembly - by applying machine learning.

For several years now, co-simulation between Multibody Dynamics (MBD) codes like MotionSolve and Discrete Element Method (DEM) software like EDEM has been used for many applications such as vehicles and material transportation. One missing link has been a realistic tire model that not only could interact with the soil material in a realistic way but also show the influence of varying tire pressure, change in contact area and pressure distribution over said contact area.

For very soft material such as deep mud with a high-pressure tire, using a rigid wheel is a decent approximation. But for tires on harder surface, this method has several short comings. For example, a rigid representation of the tire will have neglectable rolling resistance while the pressure distribution on a real tire has its peak well ahead of the centerline of the tire producing a resisting moment to the motion. The contact patch area will in reality not depend on sinkage, but the sinkage is dependent on the contact area that is dependent on load and internal pressure.

This presentation introduces the new PM-FlexTire model that is integrated in EDEM and will work with MotionSolve. Requirements for creating and correlating the tire model is presented together with several application examples on mud, clay and gravel beds.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Jesper Slattengren, Technical Fellow, Pratt Miller

Duration: 20 minutes

The chassis of a the RAVO 5 iSeries street sweeper has been a proven design that has remained relatively unchanged since the mid-60’s. However, due to increasing weight and size requirements, as well as possible changes to the driving mechanism, an overhaul of the chassis platform is needed. To develop a new (modular) chassis, which is suited for upcoming and future changes, a CAE-driven design approach is chosen, which is being performed by VIRO. When using computer-aided engineering (CAE), the chief problem is to define or estimate the acting loads and / or boundary conditions on a structure. In case such a structure is dynamically loaded, such a determination is further aggravated. Furthermore, if that structure is a chassis, a wide range of load cases and interconnected systems (e.g. tyres, suspension) effect the multifaceted loading behavior.

By utilizing multibody dynamics (MBD) and creating a MBD-model of the current street sweeper, a first step is taken towards developing a new (modular) chassis. The calculated loads and moments acting on the suspensions and chassis are quantified for e.g. several worst case scenarios, which allows for well-founded decisions in relation to the new design. Furthermore, these load conditions can be used as input for future topographic optimizations and / or stress analyses. An important part, when creating a CAE-model, i.e. in this case a MBD-model, is the validation of that model by experiments and /or analytic formulations. Consequently several calculated load cases have been tested in the field and in mutual cooperation. A subsequent verification shows that the measured accelerations correlate well with the calculated accelerations from the MBD-model.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Thijs Romans, Group Leader Engineering Analysis, VIRO

Duration: 20 minutes

Several OEMs currently face the challenge of information silos due to poor integration of models across the product life cycle. Furthermore, there is limited reuse of models between programs and the variation of modeling maturity across various Engineering disciplines results in lack of traceability. In this short presentation, we will look at solutions and workflows that leverages a systems model as a common language of communication while facilitating various types of real time dashboards and visualization to help understand and optimize the entire Mechatronic system performance.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Keshav Sundaresh, Global Director – Smart Systems & Mechatronics, Altair

Duration: 20 minutes

G.S. Vidyaprakash presents how Lakshmi Machine Works Ltd. drives the design process with simulation. In his presentation First Time Right Machine Design with CAE Simulation, he discusses reliable simulation techniques to predict & prevent failure modes.

Controller strategy expert Lorenzo Moretti presents how to improve Cobot collaboration. In the context of virtual commissioning, he discusses how more meaningful controller design is possible with realistic plant models.

Dr. Fatma Kocer VP, Engineering Data Science at Altair showcases the impact of AI in development environments. In particular on how CAE tools will evolve and Design Exploration is taken to the next level.

Brett Chouinard, President and COO of Altair discusses Development challenges in Industrial machinery and illustrates how Altair's scalable simulation solutions provide the environment for simulation-driven innovation and how machine learning expands the capabilities furter.

Benoit Pelourdeau presents how Stanley Robotics SAS drives the design process with simulation, to develop the world's first robotic car storage service. Learn from him how the interdisciplinary mechatronic product development team succeeds with accurate virtual prototypes.

Daniel Jauss, Application Engineer CAE, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how to improve system understanding with dynamic motion analysis to Identify real behavior of the machine assembly and Identify peak loads.

Christian Kehrer, Business Development Manager System Modelling, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how CNC control optimization is performed to realize toolpath error correction of a CNC milling machine, with system simulation and how more effective controller design with realistic plant models is realized.

Indradev Babu, Managing Director, UCAM PVT LTD, explains how he developed a CNC Jobshop to the largest manufacturer of CNC Rotary tables—presenting different development examples, he explains how Simulation Driven Design helps him to differentiate and what simulation Strategies he implements in the customer-centric development for the following generation Machine Tools at UCAM.

Industry expert Dennis Baum presents how Weber Maschinenbau applies simulation, how simulation can be used along product lifecycle and which benefits arise to customers and internal processes.

Industry Innovator Luca Gatti Luca invites you to a virtual coffee break, to see why it is necessary to model and deeply study the physics behind a cup of coffee. Learn why Gruppo Cimbali SpA is creating digital twins of their coffee machines to fully embrace the digital transformation.

Mr. Vijay Zala and Mr. Pragnesh Zala present development methodologies for new economic machine generations and showcase why Jyoti CNC Automation Ltd. sets simulation at the core of the development strategy.

Andrew Dyer, Senior Tech Specialist at Altair in the US, Gabriele Piombo, EngD Partner with Altair at the University of Warwick, and finally Prof. James Marco, Professor of Systems Modelling and Simulation at the University of Warwick, present - Rapid Battery Layout Optimization using 0D / 1D in a Systems Environment. Together they will discuss the use of a 1D Systems approach to simulate a battery module. This includes the cell, cooling plate & busbar and is subjected to a typical extreme duty cycle. A typical event is simulated where the maximum allowable temperature is exceeded which triggers an increase in the cooling flow rate. This system is then optimised.

Dr. Royston Jones, CTO and Dr. Anthony Hahnel, Technical Director, give their keynote presentation during the ATCx Driving Innovation in Electric Powertrain 2021.

In this presentation, MIRDC’s Bionic Intelligent Automatic Guided Vehicle (BI-AGV) is introduced. This “collaborative handling module” has three characteristics of wireless intelligence, flexible use and flexible movement. Through the wireless intelligent collaborative handling system, it can control several automatic guided vehicles (AGVS) in real time, and several vehicles can conduct remote control and serial connection to carry out handling tasks. At the same time, the 360-degree mobile omni-directional wheel design framework is adopted. It has the advantages of flexible use in the area where the traditional unmanned vehicle cannot run smoothly in the indoor narrow space.

Pete Darnell, Vice President, Software Development at Altair discusses why embedded development tools must track the ever-increasing complexity and feature set of microcontrollers as well as demands from new markets like the Cloud based “Internet of Things”. He looks at trends in the microcontroller space and discusses how block diagram model-based development tools can be used to abstract these changes to ease firmware development. He also looks at the thing side of IoT and the challenges of power management to extend battery life and what it will take to provide secure over-the-air firmware updates. The recording is about 19 minutes long, and was presented at the 2020 Global Altair Technology conference.

Dr Venkat Perumal, Senior Principle Engineer at Stryker Global Technology Center discusses the adoption of simulation in Medical Device industry and how it helps shorten the overall product development cycle time & cost. While adoption of simulation has the ability to reduce and time, physics-based models need rigorous verification, validation and uncertainty quantification. This talk will include examples, where physics-based simulation results lent insight of the product performance, materials modeling and structure-properties correlation. The role of industry-academia-private & public partnership in driving the change from 100% ‘make & break’ to ‘simulation driven product development’ including regulatory submission will be discussed. The video is 12 minutes long and was presented at the Altair Technology Conference 2020.

A welcome address to Altair's ATCx CFD virtual event hosted in 2020, presented by Andy Fine, VP CFD Solutions EMEA at Altair.

Presented at the ATCx CFD 2020, Fast and Accurate Solutions to Optimize CFD Performance by Stephen Cosgrove, VP CFD Solutions Americas at Altair.